danspielman / YINSlex
Computes lex minimizers / absolutely minimal Lipschitz extensions in graphs
☆16Updated 9 years ago
Alternatives and similar repositories for YINSlex:
Users that are interested in YINSlex are comparing it to the libraries listed below
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆21Updated 6 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last week
- Off the convex path☆67Updated last year
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- ☆16Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆23Updated 3 years ago
- ☆8Updated 6 years ago
- Topology of decision boundaries☆28Updated 5 years ago
- Notes from ICLR 2019☆24Updated 5 years ago
- Lagrangian VAE☆28Updated 6 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- ☆11Updated last year
- ☆30Updated 4 years ago
- Generative Latent Attentive Sampler☆26Updated 7 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 5 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Geometric Certifications of Neural Nets☆41Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- fast kernel evaluation in high dimensions via hashing☆23Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆33Updated 8 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆22Updated 7 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]☆13Updated 5 years ago
- IPC: A Graph Data Set Compiled from International Planning Competitions☆44Updated 5 years ago